Machine learning assisted methodology for multiclass classification of malignant brain tumors
author
Vidyarthi, Ankit
Agarwal, Ruchi
Gupta, Deepak
Sharma, Rahul
Draheim, Dirk
Tiwari, Prayag
statement of authorship
Ankit Vidyarthi, Ruchi Agarwal, Deepak Gupta, Rahul Sharma, Dirk Draheim, Prayag Tiwari
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 10
year of publication
2022
pages
p. 50624-50640
url
https://doi.org/10.1109/ACCESS.2022.3172303
subject term
kasvajad
pea- ja kaelapiirkonna kasvajad
pahaloomulised kasvajad
diagnostika (meditsiin)
dispersioonanalüüs (statistika)
bioloogilised närvivõrgud
keyword
feature extraction
feature selection
malignant brain tumors
region of interests (ROI’s)
k-nearest neighbour (KNN)
multi-class support vector machine (m-SVM)
neural networks
ISSN
2169-3536
notes
Bibliogr.: 51 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100374601
https://www.scopus.com/record/display.uri?eid=2-s2.0-85130787211&origin=inward&txGid=f9d62aed4ad710f2e3973d07230f5e56
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000797458000001
category (general)
Engineering
Computer science
Materials science
Tehnika
Arvutiteadus
Materjaliteadus
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
Tehnika. Üldine inseneriteadus
Arvutiteadus. Üldine arvutiteadus
Materjaliteadus. Üldine materjaliteadus
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Information systems group